User-powered recommendation system

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United States of America Patent

PATENT NO 10311367
APP PUB NO 20160117599A1
SERIAL NO

14988997

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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Recommendation systems are widely used in Internet applications. In current recommendation systems, users only play a passive role and have limited control over the recommendation generation process. As a result, there is often considerable mismatch between the recommendations made by these systems and the actual user interests, which are fine-grained and constantly evolving. With a user-powered distributed recommendation architecture, individual users can flexibly define fine-grained communities of interest in a declarative fashion and obtain recommendations accurately tailored to their interests by aggregating opinions of users in such communities. By combining a progressive sampling technique with data perturbation methods, the recommendation system is both scalable and privacy-preserving.

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Patent Owner(s)

  • AT&T INTELLECTUAL PROPERTY I, L.P.; 501 BOARD OF REGENTS THE UNIVERSITY OF TEXAS SYSTEM

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Cho, Tae Won Jersey City, US 12 190
Ramakrishnan, Kadangode K Berkeley Heights, US 156 6337
Srivastava, Divesh Summit, US 146 3645
Zhang, Yin Austin, US 115 1083

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